Algorithm to forming a rule base for a fuzzy classifier designed on the basis of the K-means clustering algorithm and the whale optimization algorithm
DOI: 10.21293/1818-0442-2021-24-1-42-47
Abstract: The article presents a description of the algorithm for generating fuzzy rules for a fuzzy classifier using data clustering, metaheuristic, and the clustering quality index, as well as the results of performance testing on real data sets.
Keywords: fuzzy classifier, clustering, k-means, whale optimization algorithm, clustering quality indices
Authors and copyright holders:
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For citation:
Koryshev N. P., Hodashinskiy I. A. Algorithm to forming a rule base for a fuzzy classifier designed on the basis of the K-means clustering algorithm and the whale optimization algorithm. Doklady Tomskogo gosudarstvennogo universiteta sistem upravleniya i radioelektroniki, 2021, vol. 24, no. 1, pp. 42–47. DOI: 10.21293/1818-0442-2021-24-1-42-47
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